The article presents the issues covering the transformation of logistics within the currently
developed concepts of both Industry 4.0 and Logistics 4.0. In this approach, a research …

Assistive vision-based solutions for the driver extend the capabilities of human vision and
support safe travel. Unfortunately, their widespread usage is generally limited to expensive …

This paper focuses on the aspect of traffic lights control in order to reduce congestion and
thereby contribute to the reduction of the negative impact of transport on the urban …

Image enhancement and night-to-day image translation are the most prominent approaches
for improving visibility at night. Yet, the capability of improving visibility using image …

Touchless interaction with electronic devices using gestures is gaining popularity and along
with speech-based communication offers their users natural and intuitive control methods …

Based on the two-lane, symmetric traffic model (STCA), a modified traffic model, including
Vehicle-to-Infrastructure (V2I) communication (STCA V2I model, for short), is presented. The …

The paper discusses the problem of human body detection in severe lighting condition from
the driver perspective. Results of a study of threat situation recognition, defined as the …

In paper we propose a detection method for objects in video stream taken in front of a car by
means of deep learning. The successful detection of preceding cars is a part of the analysis …

Detecting and recognizing brake lights is essential to avoid collisions and accidents caused
by a vehicle driving behind another vehicle. This refers to traffic risk, among other things, to …

The article presents an architecture and experimental implementation of a hybrid vehicle
identification system that uses data from a photo-video automatic license plate recognition …